Multilevel thresholding is one of the principal methods of image segmentation. These
methods enjoy image histogram for segmentation. The quality of segmentation depends on …

Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …

Image Segmentation is a key process in image analysis and computer vision. Otsu is a
simple but effective thresholding method, which is widely used for image segmentation …

Threshold selection is an important topic and also a critical preprocessing step for image
analysis, pattern recognition and computer vision. In this letter, a novel automatic image …

Image Thresholding is one simplest method of image segmentation, which partitions the
image into several objects on the basis of one or more threshold values. Threshold values …

Multilevel image thresholding is effectually technique used to segment many types of
images. It usually applied in image preprocessing phase. In this chapter, a review of gray …

Image segmentation is a process of dividing an image into a number of meaningful regions.
Each pixel of an image carries a certain measure which is used for segmentation. An image …

Most of the traditional histogram-based thresholding techniques are effective for bi-level
thresholding and unable to consider spatial contextual information of the image for selecting …

Multilevel thresholding is one of the most important areas in the field of image segmentation.
However, the computational complexity of multilevel thresholding increases exponentially …

Classic statistical thresholding methods based on maximizing between-class variance and
minimizing class variance fail to achieve satisfactory results when segmenting a kind of …